利用回归分析关键宏观经济变量对BSE的依赖性

IF 0.2 Q4 ECONOMICS

International Journal of Applied Behavioral Economics Pub Date : 2022-01-01 DOI:10.4018/ijabe.308782

B. K. Som, Himanshu Goel

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引用次数: 0

摘要

本文旨在利用R-studio中的回归建模技术分析关键宏观经济变量对孟买证券交易所(BSE) Sensex的依赖性。实证调查使用了2012年至2019年的月度数据点。模型结果表明，长期利率(LTINT)、消费者价格指数(CPI)和摩根士丹利资本国际(MSCI)对我国经济增长的影响显著，而工业生产指数(IIP)和外汇指数(FX)对我国经济增长的影响不显著。此外，r平方值表明因变量中93%的变化是由所选的自变量解释的。此外，使用适当的图形检查数据集的正态性和线性。本文的研究结果对投资者预测股票价格走势具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analyzing Dependence of Key Macroeconomic Variables on BSE Using Regression

This paper aims to analyze the dependence of key macroeconomic variables on Bombay Stock Exchange (BSE) Sensex using regression modelling technique in R-studio. Monthly data points spanning a period of last years from 2012 to 2019 has been used for the empirical investigation. The results of the model indicate that Long Term Interest Rate (LTINT), Consumer Price Index (CPI) and Morgan Stanley Capital International (MSCI) are found to be significant while Index of Industrial Production (IIP) and Foreign Exchange (FX) are insignificant. Also, the value or r-square indicates that 93 percent of the variation in the dependent variable is explained by the selected Independent variables. Also, the dataset was checked for normality and linearity using appropriate graphs. The results of this paper will be of immense use for the investors in predicting the stock price movement.

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来源期刊

International Journal of Applied Behavioral Economics ECONOMICS-

自引率

20.00%

发文量